Take back control of your customer data.
Predict. Detect. Act.
Titane unifies your data streams and feeds its proprietary deep learning models to anticipate every customer’s behaviour and trigger your cross-channel growth opportunities.
France’s leading power-tool retailer, with 100,000 references.
A peer-to-peer giving app with 7 million users.
A dozen other sites have already connected their tools to Titane.
From raw data to predictions that pay off.
Seven proprietary models, trained on your data.
Deep learning architectures built for e-commerce: one per question, from the customer drifting away to the product about to run out.
Personalized per-customer recommendations
TITAN-REC analyzes 47 signals per customer — purchase history, browsing behavior, complementary products, market trends, weather, seasonality — to generate individual recommendations across your entire catalog. The right products, for the right person, at the right time.
See the model →Complementary product recommendations
TITAN-LINK recommends, for each product, the most relevant complements in actual use — even those that don’t surface from co-purchases alone. The model steers these recommendations toward your priorities: margin, trends, seasonality, or categories to push.
See the model →Churn detection and personalized actions
TITAN-CORE detects, for each customer, whether they are Active, Spacing out, Slipping away, or Inactive. The model analyzes more than 20 signals to tailor actions to their real situation: build loyalty, re-engage, retain, or win back.
See the model →Sales prediction and inventory management
TITAN-HORIZON combines 28 signals per product — sales history, stock levels, supplier lead times, weather, public holidays, advertising budget, e-commerce events, market trends — to generate a complete replenishment calendar, week by week, SKU by SKU.
See the model →Trending product detection
TITAN-TREND continuously monitors market signals — TikTok, Instagram, Pinterest, Reddit, Google, competitor launches — and fuses them to detect the products gaining momentum. The exact SKUs, the precise colorways, two to six weeks before it shows up in your sales.
See the model →New-signup scoring and activation
TITAN-FIRST scores every new signup from day zero, using browsing, acquisition, and context signals, to trigger differentiated welcome journeys that accelerate the first purchase.
Customer trajectory and need anticipation
TITAN-ARC learns each customer’s own rhythm — the sequence of their purchases, their browsing, and their needs over time — to anticipate their next need: a consumable to reorder, a project step to complete. This long-range reading feeds every TITAN model.
Titane deploys in a few clicks,
inside your tools.
And delivers its results every night, where your team already works.
